Alazab, Mamoun

Blockchain for industry 4.0: a comprehensive review

Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 766

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

R.M., S. P., Maddikunta, P. K. R., M., P., Koppu, S., Gadekallu, T. R., Chowdhary, C. L., & Alazab, M. (2020) · Computer Communications

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 470

Federated Learning for intrusion detection system: Concepts, challenges and future directions

Agrawal, S., Sarkar, S., Aouedi, O., Yenduri, G., Piamrat, K., Alazab, M., Bhattacharya, S., Maddikunta, P. K. R., & Gadekallu, T. R. (2022) · Computer Communications

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 457

Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

Dai, X., Xiao, Z., Jiang, H., Alazab, M., Lui, J. C. S., Dustdar, S., & Liu, J. (2023) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 304

Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions

Ramu, S. P., Boopalan, P., Pham, Q.-V., Maddikunta, P. K. R., Huynh-The, T., Alazab, M., Nguyen, T. T., & Gadekallu, T. R. (2022) · Sustainable Cities and Society

Privacy-Preserving Technologies in DataSmart Cities and Technologies

Cited by 301

Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

Taheri, R., Shojafar, M., Alazab, M., & Tafazolli, R. (2021) · IEEE Transactions on Industrial Informatics

Advanced Malware Detection TechniquesPrivacy-Preserving Technologies in Data

Cited by 218

RETRACTED: FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems

Arikumar, K., Prathiba, S., Alazab, M., Gadekallu, T., Pandya, S., Khan, J., & Moorthy, R. (2022) · Sensors

Privacy-Preserving Technologies in DataContext-Aware Activity Recognition Systems

Cited by 168

Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges

Patel, K., Mehta, D., Mistry, C., Gupta, R., Tanwar, S., Kumar, N., & Alazab, M. (2020) · IEEE Access

Emotion and Mood RecognitionFace recognition and analysis

Cited by 157

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks

Khan, R. U., Zhang, X., Alazab, M., & Kumar, R. (2019) · 2019 Cybersecurity and Cyberforensics Conference (CCC)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 141

Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives

Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security

Recommender Systems and TechniquesPrivacy-Preserving Technologies in Data

Cited by 139

A review on deep learning for future smart cities

Bhattacharya, S., Somayaji, S. R. K., Gadekallu, T. R., Alazab, M., & Maddikunta, P. K. R. (2022) · Internet Technology Letters

Smart Cities and TechnologiesInternet of Things and AI

Cited by 138

DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems

Lian, Z., Yang, Q., Wang, W., Zeng, Q., Alazab, M., Zhao, H., & Su, C. (2022) · IEEE Transactions on Network Science and Engineering

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 100